sensorchar op• Data kinds: image2d → table
• Call: import fullseye as fs; fs.ledger.emva_highpass(image, method='r4', line_scan=False) (to call the implementation directly, import sensorchar; sensorchar.emva_highpass(image, method='r4', line_scan=False); from the registry, opsoptics.get("emva_highpass"))
Highpass filter that removes uneven illumination (section 8.1; the older version is appendix C.5, Eqs. 84-87).
> The detailed description below is the original text — the summary and the headings are translated.
8.1 節: 「7 × 7 の箱、11 × 11 の箱、3 × 3 の二項を順にかけて平滑化し、元の画像から引く」。DSNU・PRNU(式 66・67)、スペクトログラム(8.6 節)、欠陥画素のヒストグラム(8.8 節)はこの画像から求める(縦横の断面 8.7 節だけはかけない)。*method* "r4"(既定、Release 4.0)/ "r3.1"(付録 C.5: 5 × 5 の箱を引く、式 84)。*line_scan*: "r3.1" だけ —— 横 5 × 1 の箱(付録 C.5 の線カメラ)。r4 の線カメラ版は本文に無いので拒む。
端: 平滑化が完全に定義される内側だけを返す(r4 は各辺 9 画素、r3.1 は 2 画素を落とす)。r3.1 の「上下左右 2 本を捨てる」は付録 C.5 の文。r4 の 9 画素は本文に書かれていない —— 3 つのフィルタの半幅の和 3 + 5 + 1 から導いた。
白い雑音の分散の利得(white_variance_gain = Σh²、h = δ − 平滑化)はカーネルから厳密に数える。r3.1 では 1 − 1/25 = 0.96(本文の式 86 は 0.92、標準偏差を 0.96 で割れと書く —— 二乗が一つ多い。線カメラは 1 − 1/5 = 0.80 に対し本文の式 87 は 0.64)。列・行の模様(片方向にだけ変わる)は 1-D の利得 white_variance_gain_col / _row で減る。transfer は波数 k̃ = 0..1(ナイキストで 1)の 1-D の伝達関数。
返り値 {"kind": "emva_highpass", "image", "smoothed", "method", "border", "white_variance_gain", "white_variance_gain_col", "white_variance_gain_row", "standard_std_divisor", "transfer_k", "transfer"} (standard_std_divisor は付録 C.5 が書く割る数 0.96 / 0.80、r4 は None)。
Raises ValueError: 2-D の実数でない / NaN・inf / method が違う / r4 で line_scan / 画像がカーネルより小さい。
Every optics op validates its input before computing (nothing slips through silently):
• Units are baked into the argument name — _mm / _um / _deg / _mrad. Confusing mm with µm does not crash; it yields a plausible-looking wrong answer, so the name prevents it. Nothing here guesses the unit from the magnitude.
• Strings raise ValueError — float('50') succeeds, so an unparsed configuration value would slip through as a length (measured: thin_lens('50', '200') returned a plausible 66.667 mm). bool is refused too, as the implicit promotion True == 1.
• complex / masked arrays raise ValueError (real-valued slots only; silently dropping the imaginary part or peeling off the mask is refused). NaN/Inf raises ValueError on every input.
• Division by zero and its relatives are refused by name: focal length 0, radius of curvature 0, refractive index <= 0, a fully opaque aperture (all zeros, so the normalisation is 0/0), a PSF whose sum is <= 0, a Stokes vector with S0 = 0, and an object sitting at the front focal point (the image is at infinity).
• Only two ops return a non-finite value, and both state it as a contract: depth_of_field returns far_mm = inf beyond the hyperfocal distance (that is what the hyperfocal distance means), and gaussian_beam returns wavefront_radius_mm = inf at the waist (the radius of curvature of a plane wavefront). Both also return a finite companion (far_is_infinite / curvature_per_mm). Any other silent NaN/Inf is detected internally and raises ValueError — "float64 overflowed" and "the answer is infinite" are different claims, so the first is never returned wearing the face of the second.
• Size caps: generated grids are capped by optics.MAX_GRID (4096); supplied fields/PSFs/apertures by optics.MAX_FIELD_ELEMENTS (2^24); ABCD element chains by optics.MAX_SYSTEM_ELEMENTS (1024); Zernike by MAX_ZERNIKE_TERMS (512) / MAX_ZERNIKE_ORDER (40) / MAX_ZERNIKE_BASIS (2^25). This closes, fail-closed, the paths where a small argument triggers a huge internal allocation (measured: n_max=40 × 4096² needs 108 GB).
• Physically impossible states are refused too: a Stokes vector with degree of polarisation > 1, negative transmittance, negative intensity, and invalid Zernike indices such as n-|m| odd.
• Sample-data catalog (download URLs / licences) — 2-D uses skimage.data (BSD/public domain) plus synthetic images; 3-D lists download URLs for real data sources (Stanford, PDS, …).
• Operator provenance and references — the sources of the research/methods this op family came from.
• The canonical algorithm (author, year) and its uses are named in the family usage guide above.
• poc_emva1288_in_camera_processing — py -3.11 examples/poc_emva1288_in_camera_processing.py
• poc_emva1288_sensor — py -3.11 examples/poc_emva1288_sensor.py
table as input)abcd_matrix · wavefront_stats · sfr_from_edge · paraxial_trace · seidel_coefficients · spot_stats · tolerance_analysis · wavefront_from_opd
sensorchar)emva_pair_statistics · emva_photon_transfer · emva_quantum_efficiency · emva_linearity_error · emva_snr_curve · emva_sensitivity_threshold · emva_dynamic_range · emva_dark_current
*Provenance: sensorchar.py — OPTICS operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.